Why do some people naturally notice problems while others don’t? Andrew introduces ideas from the book Living Sensationally, exploring how different sensory personalities affect how workers perceive disorder and opportunities for improvement.

Andrew also shares the results of his shop’s first full week of 8 a.m. morning meetings followed by shop-wide 3S, complete with funky music and a noticeable surge in improvement activity. Jay and Andrew discuss how creating space for small improvements can build momentum, and why the real goal of cleaning isn’t cleanliness, but exposing hidden problems.

They also compare notes on using AI in manufacturing environments, including Andrew’s first experiments with Claude to automate CNC workflows and program an Andon status light for his workstation. Does AI have a lot of promise as a technical collaborator? Does it also have a lot of frustrations? You bet.

Andrew shares a recent experiment in his shop: installing a full Sonos sound system and changing the structure of morning meetings and 3S time to give employees more room to pursue real improvements. Meanwhile, Jay discusses several new internal tools he has built, including an AI-powered quoting system and digital production boards designed to replace traditional analog shop boards.

The conversation also includes the difference between Two Second Lean and traditional TPS-style lean, how AI is changing the speed of experimentation inside businesses, the hidden problems with too many meetings in manufacturing organizations, and what shop tours can teach you (and why you should never show up as a tourist.

A tornado tears through Bloomington, leading Andrew and Jay to discuss practical leadership during real-world emergencies. From there, the conversation shifts back to the shop floor: chip conveyors on Brother machines, production layout tradeoffs, palletized workholding vs. one-piece flow, and the realities of automation. They explore the pros and cons of high-density fixturing, robot-fed cells, and Okuma’s compact MU-600V five-axis machine with part handoff capability.

The second half moves into the accelerating world of AI in manufacturing. Jay shares how he’s using Claude to rapidly build internal software tools, while Andrew talks through vibe-coded machine monitoring dashboards and real-time shop visibility systems. They wrestle with simplicity vs. data overload, operator-focused visual management, and what the next wave of AI-powered shop tools might look like.